| Sustainable computational science: the ReScience initiative NP Rougier, K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, ... PeerJ Computer Science 3, e142, 2017 | 115 | 2017 |
| Methods for identification of spike patterns in massively parallel spike trains P Quaglio, V Rostami, E Torre, S Grün Biological cybernetics 112 (1-2), 57-80, 2018 | 29 | 2018 |
| Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models V Rostami, PGLP Mana, S Grün, M Helias PLOS Computational Biology 13 (10), e1005762, 2017 | 19* | 2017 |
| A collaborative simulation-analysis workflow for computational neuroscience using HPC J Senk, A Yegenoglu, O Amblet, Y Brukau, A Davison, DR Lester, A Lührs, ... High-Performance Scientific Computing: First JARA-HPC Symposium, JHPCS 2016 …, 2017 | 16 | 2017 |
| Visualization of learning-induced synaptic plasticity in output neurons of the Drosophila mushroom body γ-lobe CE Hancock, V Rostami, EY Rachad, SH Deimel, MP Nawrot, A Fiala Scientific Reports 12 (1), 10421, 2022 | 14 | 2022 |
| Spiking neural network model of motor cortex with joint excitatory and inhibitory clusters reflects task uncertainty, reaction times, and variability dynamics V Rostami, T Rost, A Riehle, SJ van Albada, MP Nawrot bioRxiv, 2020 | 13 | 2020 |
| Decision-Aware Learning for Optimizing Health Supply Chains TH Chung, V Rostami, H Bastani, O Bastani arXiv preprint arXiv:2211.08507, 2022 | 12 | 2022 |
| [Re] Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function V Rostami, J Ito, M Denker, S Grün Rescience 3 (1), #3, 2017 | 3 | 2017 |
| Maximum-entropy and representative samples of neuronal activity: a dilemma PGLP Mana, V Rostami, E Torre, Y Roudi arXiv preprint arXiv:1805.09084, 2018 | 2 | 2018 |
| Statistical analysis tools for assessing the functional relevance of higher-order correlations in massively parallel spike trains (PhD thesis) V Rostami https://d-nb.info/1142257509/34, 2017 | 2 | 2017 |
| Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST FJ Schmitt, V Rostami, MP Nawrot Frontiers in Neuroinformatics 17, 941696, 2023 | 1 | 2023 |
| Inferences from a network to a subnetwork and vice versa under an assumption of symmetry PGLP Mana, E Torre, V Rostami bioRxiv, 034199, 2015 | 1 | 2015 |
| Cortical multi-area model with joint excitatory-inhibitory clusters accounts for spiking statistics, inter-area propagation, and variability dynamics J Pronold, A Morales-Gregorio, V Rostami, SJ van Albada bioRxiv, 2024.01. 30.577979, 2024 | | 2024 |
| Functional spiking network model of the monkey motor cortex with inhibitory clustering and cellular adaptation V Rostami, T Rost, A Riehle, S Van Albada, MP Nawrot Bernstein conference, 2019 | | 2019 |
| Inhibitory assemblies play an important role in cortical attractor networks V Rostami, T Rost, S van Albada, M Nawrot 7th International caesar Conference, 2018 | | 2018 |
| Sustainable computational science K Hinsen, F Alexandre, T Arildsen, LA Barba, FCY Benureau, CT Brown, ... PeerJ Computer Science 3, 2017 | | 2017 |
| Pairwise maximum-entropy models: bimodality, bistability, non-ergodicityproblems, and their elimination via inhibition V Rostami, PGL Mana, M Helias 9th Bernstein Sparks Workshop, 2016 | | 2016 |
| Obscured artifacts in multi-electrode recordings and their influence on correlation analysis J Sprenger, M Denker, V Rostami, E Torre, A Riehle, T Brochier, S Grün 11th Göttingen Meeting of the German Neuroscience Society, 2015 | | 2015 |
| Indications of Higher-Order Correlations in a Pairwise Population Measure V Rostami, J Ito, E Torre, M Helias, P Quaglio, S Grün NWG, 2015 | | 2015 |
| Population statistics uncovers baseline correlation in the cerebral cortex V Rostami, J Ito, M Helias, J Confais, S Grün, A Riehle INM retreat 2013, 2013 | | 2013 |
Sonja GrünProfessor for Theoretical Systems Neurobiology, RWTH Aachen University在 fz-juelich.de 的电子邮件经过验证
